{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy import stats, integrate\n",
    "\n",
    "sns.set(color_codes=True)\n",
    "np.random.seed(sum(map(ord, 'distributions')))# 随机生成高斯数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x129237b0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1S/v379fSpUvDHscpAh+iTZs2adOmTWGPMassWrRIFy5cKD7mIneoxMWLF7V37151dHQo\nmUyGPY5zHIPHrMJF7uDKjRs3tHv3bh09etRk3CX24DHLcJE7uHLixAnlcjl1dnYWv7Zt2za1t7eH\nOJVbXGwMAIziEA0AGEXgAcAoAg8ARhF4ADCKwAOAUQQeAIwi8ABgFIEHAKP+AyPA4IEy+AF/AAAA\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x129233f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.normal(size=100)\n",
    "sns.distplot(x, kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc09f50>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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x4kUtWrRITU1NqqysND0NACCHjEN+48aNisfjWrNmTc9rs2fPVl1dnSeNAQDcMw75lStX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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xafc3d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(x, bins=20, kde=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc49a10>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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EqGWkQNQz165d5ccfT0jvrTVkoN9o7Ozt2RW3Vu0oQpSbFIh6Jjk5EaPRKJe3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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc492f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.gamma(6, size=200)\n",
    "sns.distplot(x, kde=False, fit=stats.gamma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.602564</td>\n",
       "      <td>0.434820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.839219</td>\n",
       "      <td>-0.949061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-1.283694</td>\n",
       "      <td>-0.133810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.604825</td>\n",
       "      <td>1.678092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1.713887</td>\n",
       "      <td>-0.676030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.075403</td>\n",
       "      <td>1.163988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.135259</td>\n",
       "      <td>1.340038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2.038999</td>\n",
       "      <td>1.530601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.413375</td>\n",
       "      <td>1.942837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.962461</td>\n",
       "      <td>-0.019634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.049474</td>\n",
       "      <td>2.470702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.100964</td>\n",
       "      <td>0.299344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.036881</td>\n",
       "      <td>2.162334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-1.639811</td>\n",
       "      <td>2.680410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.744509</td>\n",
       "      <td>1.148785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.178456</td>\n",
       "      <td>0.135073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.326349</td>\n",
       "      <td>0.582835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.329835</td>\n",
       "      <td>0.894002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.527435</td>\n",
       "      <td>0.069527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-1.215976</td>\n",
       "      <td>0.283421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-0.711549</td>\n",
       "      <td>2.283325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.763538</td>\n",
       "      <td>1.494089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.241653</td>\n",
       "      <td>2.085921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-1.117078</td>\n",
       "      <td>0.104240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.519308</td>\n",
       "      <td>0.785803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1.065943</td>\n",
       "      <td>-0.740841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.322281</td>\n",
       "      <td>-0.255865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1.736302</td>\n",
       "      <td>1.340822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-0.371857</td>\n",
       "      <td>-0.891062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-1.348645</td>\n",
       "      <td>1.582152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>-0.103930</td>\n",
       "      <td>-0.041717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>1.287585</td>\n",
       "      <td>3.460396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>0.600863</td>\n",
       "      <td>1.332066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>1.376149</td>\n",
       "      <td>1.504621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>-0.350328</td>\n",
       "      <td>0.045712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>-0.724356</td>\n",
       "      <td>0.610024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>-1.403842</td>\n",
       "      <td>0.937125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>-0.414179</td>\n",
       "      <td>1.163181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>0.750104</td>\n",
       "      <td>1.405576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>-0.767919</td>\n",
       "      <td>-0.207322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>-0.248336</td>\n",
       "      <td>1.773733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>1.824647</td>\n",
       "      <td>1.799236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>0.825481</td>\n",
       "      <td>0.777835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>0.418358</td>\n",
       "      <td>-0.496010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>1.865362</td>\n",
       "      <td>2.353246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>-0.997011</td>\n",
       "      <td>1.291337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>-0.929981</td>\n",
       "      <td>-0.823428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>-0.737056</td>\n",
       "      <td>0.083723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>2.437378</td>\n",
       "      <td>3.567370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>0.252024</td>\n",
       "      <td>-0.258699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>0.531423</td>\n",
       "      <td>1.471785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>0.155389</td>\n",
       "      <td>1.806968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>-0.077931</td>\n",
       "      <td>1.949526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>-0.992107</td>\n",
       "      <td>0.899491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>-0.234928</td>\n",
       "      <td>1.705297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>-0.928330</td>\n",
       "      <td>0.304121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>0.409524</td>\n",
       "      <td>1.801255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>0.111166</td>\n",
       "      <td>0.210871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>-0.658720</td>\n",
       "      <td>0.875370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>-1.274632</td>\n",
       "      <td>0.769205</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            x         y\n",
       "0   -0.602564  0.434820\n",
       "1   -0.839219 -0.949061\n",
       "2   -1.283694 -0.133810\n",
       "3    0.604825  1.678092\n",
       "4   -1.713887 -0.676030\n",
       "5    0.075403  1.163988\n",
       "6    0.135259  1.340038\n",
       "7    2.038999  1.530601\n",
       "8   -0.413375  1.942837\n",
       "9    0.962461 -0.019634\n",
       "10   0.049474  2.470702\n",
       "11  -0.100964  0.299344\n",
       "12  -0.036881  2.162334\n",
       "13  -1.639811  2.680410\n",
       "14   0.744509  1.148785\n",
       "15  -0.178456  0.135073\n",
       "16   0.326349  0.582835\n",
       "17   0.329835  0.894002\n",
       "18   0.527435  0.069527\n",
       "19  -1.215976  0.283421\n",
       "20  -0.711549  2.283325\n",
       "21  -0.763538  1.494089\n",
       "22  -0.241653  2.085921\n",
       "23  -1.117078  0.104240\n",
       "24   0.519308  0.785803\n",
       "25   1.065943 -0.740841\n",
       "26  -0.322281 -0.255865\n",
       "27   1.736302  1.340822\n",
       "28  -0.371857 -0.891062\n",
       "29  -1.348645  1.582152\n",
       "..        ...       ...\n",
       "170 -0.103930 -0.041717\n",
       "171  1.287585  3.460396\n",
       "172  0.600863  1.332066\n",
       "173  1.376149  1.504621\n",
       "174 -0.350328  0.045712\n",
       "175 -0.724356  0.610024\n",
       "176 -1.403842  0.937125\n",
       "177 -0.414179  1.163181\n",
       "178  0.750104  1.405576\n",
       "179 -0.767919 -0.207322\n",
       "180 -0.248336  1.773733\n",
       "181  1.824647  1.799236\n",
       "182  0.825481  0.777835\n",
       "183  0.418358 -0.496010\n",
       "184  1.865362  2.353246\n",
       "185 -0.997011  1.291337\n",
       "186 -0.929981 -0.823428\n",
       "187 -0.737056  0.083723\n",
       "188  2.437378  3.567370\n",
       "189  0.252024 -0.258699\n",
       "190  0.531423  1.471785\n",
       "191  0.155389  1.806968\n",
       "192 -0.077931  1.949526\n",
       "193 -0.992107  0.899491\n",
       "194 -0.234928  1.705297\n",
       "195 -0.928330  0.304121\n",
       "196  0.409524  1.801255\n",
       "197  0.111166  0.210871\n",
       "198 -0.658720  0.875370\n",
       "199 -1.274632  0.769205\n",
       "\n",
       "[200 rows x 2 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean, cov = [0, 1], [(1, .5), (.5, 1)]\n",
    "data = np.random.multivariate_normal(mean, cov, 200)\n",
    "df = pd.DataFrame(data, columns=['x', 'y'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7593b90>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DKlQzDUInT56UrVu3yty5c4u+X19fLz/60Y9caxicV0mygNtP7/m1Er32uTlS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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb93530>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='x', y='y', data=df)# 绘制散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RkiRheHgY4XC44b7ZWqeOjg7zSarNOt1CoYBYLAZVVSHLMjweT9NO3e12o1Ao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\nJkRERJb5H/g+x08Kqs2TAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1410a510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x, y = np.random.multivariate_normal(mean, cov, 1000).T\n",
    "with sns.axes_style('white'):\n",
    "    sns.jointplot(x=x, y=y, kind='hex', color='k')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x14375dd0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KV1lMZdlJ8ohKZ6oqLKWUFUURXptSa8SvKLKM+2+sR9uRKJ555T3s2ddikj/b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\nnU3m2w37UD7sDG0jHNHmCqY3R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Ybinnm6N8uePfwYPaw/tu5s1K5XWpyPfJ8Hi5/ZarIJ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x14364610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iris = sns.load_dataset('iris')\n",
    "sns.pairplot(iris)# 对角线是单变量情况，非对角线为两个数据之间情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips = sns.load_dataset('tips')\n",
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x75dfc90>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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l4zz1q1FMJFQAHL1hP+65uR+D/dFiE5ysasAyOco9Y7tDHiSzOgBWtgIqY0D/\n+k4MDURwxZZwsfd0LRAEBkUUnB4FojDv1LFcUWiV6DWiehouDNPT03jkkUfwhS98AYcPH2708C1J\nud31958ewb23DtT1H9LFRPZopo2gX0Yqo8G0ANM2cX4qW/x84QSQVQ1MzWiO+YE7jWHOxTMId3hd\n4809iUwlVdg2wAT3gymVNeDJ1+zJqib+23/dWfP1lSa3VXKNkbEYfvjsIWRUs1jVM5XR8PNXj8Pi\nHBuiwQUL2XHOcS6ehc8r4fj5mXkP4TVdPuzc0YurtrkTzy6GgtPYq0hQJBGyxGreo6BVoteI5dFw\nYfjmN7+JL37xizh37lyjh25ZykXYWLZd97DI5Ub2FD43k9XAmACBOSGWOd2C1yNh34Hx4gkglTXA\n4DgtrfyThzEBM1kDvWF/cbxCy8zCDrNwEuEAOOPg3GkNyeGIg2lxaLqFB/9l/4K70VpELlVyjX0H\nxqHqFjyygIBXhtcjIac5/ZKffe0EHrhrx7zrXpjOYSTf8Wyuw1wUGLo7vLhpaB3ef9maiua5FILg\nNLb3FBvbM6DEW1BrU9FKKl2+GmmoMPzsZz/DunXrcMMNN+Dpp59e1jWqbTjRDkyldYR8kiukUOIM\nibSOnp5QY8cVlx638LnYtArH6sAgwPEJBLwSEmkdX9gziO8/PQLTtCEKzgOd568vCoBpcSf7tWS8\nW3tCuPX6rQCAr/3Lazh4LA5RYGAig2HaRROMYVhImTa6Qgo6gwrSqoGfvDiKzk4/rt3ee9Hrq/Ye\nqaaNSKcHjDHkNAsXEo6JzbI4klkD4XDAuVZSxRuHJvDmwfPzcg16w35cd0Uvrt3ei7WRQEVzWwwG\nQBAAjyzBo4jwyOK8CKJ6Uot7X8+//Van2WtvqDD88pe/xOTkJD7+8Y8jmUwim83i7//+7/G1r32t\n4musxA5u4aAyL9LHsm10B5W61ospN65mWEuOW/icJDKYFofAOGzOIYoCMqqJ7qCCzVE/7r11AD/Y\nexCaYTpllCUBPF/fR8o/7Bcab8/NAzh8YqqYSyAKzPneGQAwhPwygj4FpsUhCgJMZuGnzx92+WWW\nu75K7lFPpxcXJlPQDBudfhmj8QxUwypWILW5s/MPeEQ8+x9jGB6LYXzCLQZdQSWfeBbFushs4tnU\nVAbhcABTU+4OaYvBALCSU4EsCRAhwNQMmJqByq9UGy723q/mDoarroPbj370o+L/f/rpp/Hb3/62\nKlFYqZSL9AFH3cs8L7e8dOFzPo+EVEaDxRnAAJ8iuj4/2B/F5+6+At/f+y5UvbSkA0d3yLto+Oe1\n23ux+/o+PPv6OCzbhiQK8AfpH5G6AAAgAElEQVQUSCKDqlvzmsqXy2FYzvrmOkwv7+vCa++chwYn\nhFQQBXQGFNzy/g2YnFZh2xxXD0QxejoJzgEbHHY+mpQLDKcuZFyJZwGfjKu2hTHUH8Wm3mBRSKql\nIASFUFJZFOriK1gu7VC6nFgYymNoAcqVeW5EVNLFlJf2SAKmZ1QArFi3f23YP+/zJ86l5oiCQyZn\noK83tOh4d9+4DVvWdcyb374D4xXlUlS7vnIO09feOY8br1qLkxNpZDUTXkXE+y7pwbpwoHhyvayv\nGx+/cSueff0EUhmjaPLi+de9iogdW8IYHIhg2/pOiMtMPBMEp3+xRxYgL+A0bgVRANqjdDmxMIzz\nVvlTqoyVaEoqR6sepUsfnqU7wc/cdmnZf/T/xyP/Ac2wXA9Dy+bwyCK+98UPLzjOYuuvdg6V8vAT\nb7kEx2lSA3QGFHzi5v55dYtMy8Z7p5P5xLOEc9LLI4sCLt/chaGBKC7d1FV14lk4HEAikYHIGBRF\nLPYzrldOQauFlrbq338jWHWmJKL9qTbaRNXNeTtkgTm/Xy612I2WPgi9ighwjrPxLDyKiN6wH11B\nD0zbRiZr4Gh8uigKts1x7FwKI/kmN3MTzy7Z2InBgSi2b+52nWgqpVCILuiVwTq88zKN6yUKFFpK\nlELCQFRFtTWKvIrknBhKnm42d35/MVxMI53SByFjwLl4BoosIdLhgSxLSGV0ZFUDkihCNy10BRWM\nT8xgeCyOd8bimMkZxWsxAFvXd2BoIIodW8Lz7s1SzG1sXyhE1xnyQFf1pS9QA556eQzJtJ4PERbQ\nEVAgigKFlq5iSBiIqihXKymV0aEbNv7qu69A0y1YNofAnBDMvjUBHD7lFHsraAMTgNuv21j8fDkz\nxq1zwvVGxmJ46uUxTExlATB0+CX4vPK8DOpKTCKFU49XETGTsbGm2w/OuZOMl9bAbSfUM+hXoGom\nVM3C//3zd13X2LQmiKGBCK7cFkGHv/JexIzBMQ+1SCG6kbEYzsYyYMyJ/DItjqmUiu6Qp05VZNuD\nVjOtNRoShlVCrf7Q50abpDI6UlkdPkVCOl+6AgA4A85MZgDmOF813QKHs8Peefka3H3jtuK8ypkx\nOjv9Ref7yFgMP/zlYWRyev4KNuIzOtiMjmjXbAb1iXMpvPTWGah5cUpldPzw2UO4f/d211pTGR2R\nDg8UWcJMVkcipUI1HP+AmM+0Ni1geqawY3deWxv2F/sahDsqL9Y3t+SE2EKF6PYdGIckCsW6TU6y\nIkMyrWPb+o4mz645kGmNhGFVUMs/9Ln2fd2w0RnwIKuZKC0CVIzMyf+fvrXOCUAzLCTSsyaShXwW\nT788ii/eM1h8j6qZxSxrw5odqDSD+rkD406ZbIZiNnZGNfHUr0bz8+YwLI4NPUGcT2Rh2zqSMxpK\nfMauHsoAEO7wYKg/isH+CHrDs1FiR8YTC/ZBLu1T4JFEyHLrhJHOJZZU0RGQkcibkgqCZVp81YaW\nUtY2CUNbU+kpoNZ/6AX7/shYDP/96XecfITSgm9wm0PMOWWiS00UC/ksLpS0pIwlVVi2DTHfI7h4\nKim5tiIJ0AwbksiKuQEMgCwL0EwbOd1EVjVhWjau2NKNo6cSMG3uEoVS/B4J/9udl2NDNDCvyc2R\n8QT2vnbcMUd5JMzkDDz/xjh8HhFXbosWy1OX0oqiAMyaBsMhj1NqxLQhCgxrI75V8xCcS716fbQT\nJAxtSjWngHr8oRfGZ/kCRoU6Rsj/b+H3ThmM2Yfk3HyDhfo7rAnPmpGyqgnLBmzbhigyMIZi7aTC\ntXXTLgqSIAA+jwS/V4Zp28ipBpJpHapu4qXfncbvjk4ip81GExVgcHb6QZ8EBoaNPeVD/F4ZPgtF\ndkpyexQRiiQiqxn4zbsT+MD2tcu9pU2hYBoURQG93b5i6O89tww0e2pNo5qeIysVEoY2pZpTQD3+\n0Avjd4U8mEqpxYd1ET4rFIZlI6saEEVhXvbrQhmye24eKIqPIgtQDcC2UTQVFQj55WIG9dqIH4Zp\nw6NI0HQT8ZQKLZ8l/fjzR3FoPOEuZZ3/L58iojPoKZ4MdNNCR5lKpoVQUkkSsS7ggWHZ0A0npNXm\nHPHp9ttRUiLafChrm4ShbanmFFBNc51KHxBnYhnohg3TsiEITmE8bjm9Bhz7vlMPyecRkdMsTE6r\nEAWGdWGf6zoLPZiu3d6Lv/2nX+dPRDJkScB0WoeRLxcSCSnweWXoho213T7c+v6N0EwLP3lxDBem\n0jBKDgTJjI5kZqr4szdftturiEjnDORUE4ZlQxYFGJZzbz40tL4YSqrIToJZIZRUlhjOJ7IrZkd5\nMaG/KxESSxKGtqWaU0Alf+jVmKZGxmJQNQs2d8JSOXcEoTOoYG3eBFSYW1Y1kNWczGdJZDA55l23\n1Gex78A4fvz8UTzz6nGczhedkyQBHX4Z66OBfFipiYf/7D8VG+DkVBO6YeH4uRTCQQXxZG7ePZBE\nBkFg6A56XOGhQZ8M2+bo8MmYTmvoDftx8/s2YMfWyIK+gtuu3dQyO8rVHlZZL1a7WJIwtCnVHneX\n+kNfzDRVeL3w8EnnDAT9MmayOjgYBOaUucioJnbt7MOPnz9aPM0U+zEIrFgKo5zJq1SYNMNE7Nzs\nyYcbFqZmbAiMIeCX0b+xE6msjpxm4tREGsNjMbw9FkcqO5t4BgCKLMCnSPB6JFi2jXTGgMU5SvOR\nOYCt60J44K4dFZedKBXa8YkZqLrTpvMHew/i9us2FkNx6w2FVRL1goShTan1cXch09SZWGbew+fC\nVBaRTi/CHV6kMjpMy4kG8shivk2nU+TOsmxo+ZIRDBySJBSvO9fkVRAmy7Ixk3WXy/AoEgJeCbLk\nvL6u249/e+U4RsZimEpprvdu7AkgnlQR8suQpFkJEJjTnMa2bTAmIuSTIUgCLNMR09IktUoiiAb7\nozhxLoWjp6fBGIMsMGiGhb37TwDARYnDyFgMLz41gnOT6WVHmxVep5MEsRxIGNqYiy0LUfrg8MrO\nqWOuacqy+LyHjyQKSKZ1rIsG4Mt3K5ue0ZDTLDz8xFu4vK8LL711xml1idkmPZbNkdNMCAKbZ/Iq\nCNPEjPOgl0UBfp8En0eCYdqYyRmYSqnoCCj4t1ePuz67ptvn5BoMRBDp8OJ//OJdpErKVgjMafZz\nWV8Xbrp6A159+xzOx7MI+WV8dGcfrtgSWdY9fP6N02BgxVpQInPyIJ5/4/SyhaFwCvAo4rKjzcqJ\nOZ0kiGogYViFFHoUl2YIi6ITVmTZcBy8JVFGWa18wbtkWoMsCZhKqU6YKGM4PD6NI6emi+8p3Xzb\nNseFhGP/T6U1PPzEW0XT10xWRzylwu+R0NHtg8AY0lkdE5msawc/XZIc5/eK+KP3b8L1O9whoh8a\nWo+fv3YClmVAkUUIogDOgVvyvoOrti1PCOZSSYHAcj4AYOHd/Gy5DkcQlxNtVk7Mm5GgVe3aK/k8\nCVtjIGFYhTz1q9Fi4/pChrCp28UcAA64n+hlYAzI5ExYthOVZHNeLKtQeJALbOHL5HQLE4kcfvjL\nwwA4fB4Z4Q4JWc1AIqXCtBaeAMuPr2oWXvzdaXSHPLisrxuMOXkNXSEPuoOKU64jrcOyObyK6ErC\nqwVLFQgs5wP44S8PA5zD75PL7uZrEW0miU4nt0quUS/Krv3ZQwBj8HulJU8ybx6aoFNPE2lcE1ii\nZZhIqHlRYGDMyRS2C8lokggpn0S2GJIoINLlhSgI+f+woggUPrrYc1hgjtM66JOcvAPDxPmpDJJp\nvawolG7Mnb7RTtioJDK8fSyOzqCCaIcX0U4v/r83TiGnWwj6FawJ+7EuGoDfJxdt74Dz4Hr4ibfw\n4L/sx8NPvIWRsVhF966U26/bCA4Oy+b5lqUcHLxYILDUB8CY44NRNROqbrl+V6hkCjinAH1OOvZi\n0Wafue1SdAUUZFUTXQEFn7ntUqyPBiq+Rr0ou3bdgqqZC669lKdfHp33+YXeS9QeOjGsSrizqy/z\n8DdNOx+CuvgVbJvnd6VO/SGx5DOLfdTJSJYgiQyZnIHEjLaogMgSQ8ivIJnWAO6YRYI+Kb8r58hq\nFi4kcnjv1HTR7JBM6+gMyi4TS+mOuVbRPAU/wvNvnIaqm/Aqkisqqdzu37JtzL3xpXMrnAJU3YTA\n2LKjzZodTlt+7QVv0ywLnWQmprLwys099axmSBhWIb1hP87FM7A5KyajAfmdeD4yaF4mcwkMTm6B\nbtroDfsxkcjBtrnrM6LAYNtOfoMiOUlqHkVARnUc1eXMOk5Yq3ON0pdtmyPc6YUkiDAtG6ZpITGj\nQTctJ4TVI7oe9KmMjsSMDsYY/F4ng7l0x1zL2lF337htQUdzOR9Aod5TKaVzK4z/4u/PLhmVtBCt\nkKBVfu0Mc0VxoZNMb9iPyRWURNhukDCsAuY68a69rAcv/d6AqpnF4nR+j1RMApvJ2Ytv+/NlJCzL\nxr0fuRQnzqXw7Ovj8x724U4PREGAblhI5wxMp+dXrBMFx2xllZS6EEUBQY8EjyJCFBhU3UIma0LV\n805uYbZektcjAoy5HvRdIQ/iyRySaR0+jzRvx9yoImnlfABejwRwDs2wFtzND/ZHcev1Wy+qvWOz\nE7TKrl1xvqvF1l5gz80D+Oen/tASSYSrERKGFU65CKSzsQw+cs0GHB6fLhsxYsUysCwOzm1YtlPB\nlHMUnbseRcTasL+4Cy08gJ59/SQUWXQe1nCiimyej3IqgQGQJQHrwj7cfI1jj3/prTPIqga8igSb\n28ioFmbSGjTTLp5CQn4ZnQGl2KxnbdiLe24ZcCXUAY65KtzhxfSMhqxqztsxN6pIWrmd+70fGZj3\nu5UYbXOxa792ey8+c9ulK/4+tSqM81YtCFyeeDztKoS2UqlVQ/Bv/o/f4NxUDozNVkDlHFgX9uG/\nPXD9RV8fcATjH//X73FhWkU6p0PVrXlmqPXRAIb6I7iqP4KuoAeAu4GNRxQgSU5Y6ef/z1/lay7N\nmh0KXeG+/7e3zBv/4Sfemveg1wwLXQEFD376mnnvL/UxlO5GP3PbpS3z4Kl1Q/h2YzWvv9ZrFwSG\nSKR8peCFoBNDi/LmoQn89PnDF71bKkQgAYBp8+ID+9zU/HpC1cDyZTDOxbP4zTvncehkYkEn8n/+\n0FZ8YHsvAOeP1COJ8HhEKJK7/MSsmDCwObYsViiFWobllAcBVv6unSCWCwlDCzIyFsNPXhwFGGoQ\nw81h27z40C6cGiybY2QsVtX1CmIQS6o48O55/O7oJMbzhe4WQhAY3jg8gY09AezYFoEsCq6TQLnz\nam+31znlgLtOOWvD5U091T7om5E4RclaRDtBwtCC7DswDklixQiWaqJm5j6AOoOzTd1Lm+lIIqvo\negUxmE7reOPgBH53dBJjZ5OuB3rAJ8O2baiaVSy77fNI8HklKJJT2uHXfziLay5dU9H677llAP/P\nc4fzDXo4RIHB6xEXbR5TqbO1GYXnqNgd0W6QMLQgsaSKzqDiSvSaG4dfbvdZeABlVRNZzZwXZVNM\nQGNO68qxM0n89XdfgWlxiCLDhmgAu3b2YWggCsvmmMkZeOvwBbx5dBJHx6cXzBwOeAQM9q/Bm0cm\n83Z7EapuYiZrwDBURDq90HSnjlIlO+bB/ij+6t5ramJKm0sz+vlSD+HWhE5xC0PC0IJEO71Iq4Yr\n5r0QNbPY7nPfgXFkVRMZtXxtI2C2H/NM1oAoMmTy40iyU97huQPjODyewLl4FgdPJFwRRZLoWP6t\nEsHyKiIMCzh+fgbhkILzCRXxpFostyEIAqZmNAiMYTqjV7xjvnZ7LzZHZ9t7Fvo01KuKbD0Tp6iH\ncOtBp7jFoZIYLciunX0wTSfWnedj3gvO1HKlBgqlAmJJtVjwbn4qkRNqKudr6EiSgJBPxppuP3q6\nvOA2x6kLaRw9NY19B05heDQOI98YfvvmbnzqIwPYGA1AgLPj7Qp5sDbiR8AnQzcsnLmQxqkLWfg9\nIsR8yQoh3/jZsjgCXmlZ5Q0K/4DnispySlgA1ZWcqBXNGJNYnMX+HREkDC3JYH8Un98zOK8GTqHI\n2kIF0qKd3kVLWQR9EoJ+GWsjfnQHFRiWjclEDmdiWcxkDZjWbNRS/4YO7PnwNnztvvfjvjsuw9WX\nRGED6On2oSOgwDSdz8aTKjKqCcNyyh1IkohwyOmfbFi8aA6Tl1nUrdb/gHft7HP6RJQR3XrRjDGJ\nxVns3xFBpqSWpdSUUkppclZWNZDKGjBMG15ZxOVXdeHI+PSsL0Fg8CkivIoEryyiq0PBTMbA2Vga\n1vwkZMf34JUQCXnwX3dfAQZAFBm8HgleWUI45MGR8WnkdGveZ0WBYU23D5phwbQ4bNs5bRRsV1Mp\nFYwxcM5dc14qMqrWZphmhKpSeGzr0agkx3aFhKHNKMTsJzUTMzkD4E53NI8i4rV3zuOKLV04OZGB\nzyNBEgWouolMzkAqo2FiOuvyDxQopAgEfTIUWcDtH+iD3+sUqpMlAe8ci+G534zjxPkUVL2MogAQ\nBeCem/sBAD/YexAcDHK+VzMATKU0pxczY645L2XXjXZ6cX4qi5xuwTRtSJIAXz7zerk0o1xEs0tU\nEG6qzX1ZbZAwtBmFh8sP9h4EuNNDOdrlgyQy6IaNxIyOkE9GPKXOs2sX6PDL2LquA/FkDom07vgA\nfBJ6un3wSAJe+t1pHDg4gVvf75SrePyFozBMO28umo8oAJFOX3Fufq+EaJcXzJWvwBFPahAEDlkS\n0RFQ4PM4Du/FonMu7+ty2mfme0ubpo2UaeHmq9cvep8o4oRYDDrFLQ4JQxvi9FX2ojOkQBIFpDI6\nLkznoGkGjHxA0txHuMCcWkOfvf0yrI8GwJhTiE6WnNpGx88m8eRLo5i2nHLak0nVaTEpCRBFAams\n4XJmM+ZUCpVEx4SULYmEKndML/R5WJcfu8BSZqHD49PoDHiQ00yYlg1ZEuDzSDg8Po27F/gMRZwQ\nlUCnuIUhYWgjOJyCdLppoTOoIJ5UYdvAZDJX1kQEOLt3n0eCLDJouoWNPcESv4EIOV+f6Nn9J2FY\nvNh+07RsCIzBsjk29ASKfRoKVU2dVp5Ogb25ttmFjum9YX/ZvtKL2XVjSRUhv4yOgDJ7HzhfVEwo\nb4AgLo6mCMP3vvc9PPfccwCAm266CQ8++GAzptHysPyD17A4dN2CZliw81Et4ZAHh8cTMMw5NYUA\nV1+ErqDHySkQGDb0BNEd8kKWheLuv/C+WD73IDGjAWBFUShUZJUkAYbhLo5nWjakfP+GuWWjgfnH\ndKD6BjLLcRJW6rButLmJzFtEu9BwYdi/fz9effVVPPPMM2CM4YEHHsALL7yA2267rdFTqRtLPQAW\nep3l+y+/e2IKr//yEMZOJZDKGPkwR8AjC06v4zIOYMacnbFl207YKZyfc5rTWSyjGriQyOEL/9fL\nxV7Mzq6fgTHuilJi4BAkAZw7tYqm03rZxj02dx7S5UJk54rDvgPj2LWzb9FSyqX3JehXYBomklkD\nqmYh6JcR8ssViYlXFnA+noVlc0h5B7goCi4x2fvqMTz7m/FiyY3EjIqjp6axPuLHPbcMVP3AruQ7\nr8S8VbjOVFqHkm+Lpxo2CQnRUMS/+7u/+7tGDqiqKnbu3IkNGzZAFEW8/fbbEEURV199dUWfz+X0\nJdtONpPCA6DQmCSjmRgejaG324fesL/4umHZ6AwosDkwdjaFDr8CjyTirfcm8eSL7+HMZBrTM+7+\nx5bN5/VD9nlEpwubjWIegt8joTvkgVdxegwn0hpUzSqam0qvUBCIuVj57muVkNNMHDyZwPqoH73h\n2WzlcvdhsD+CPTf147brNuGDV60r+37OOSamskjnTAR9TnRVRjVhWTZ6unzY8+FtixbI+82hC9AM\nE4ATHpvTLDAAn7xloOQ7eA8252DgxfvGGJDTLRw9PV38viphqe8cAP7nvsNFMxpjDJIowObA6Qtp\nfPCqdfOuwxiK98DnEaFbfN41VzKBgAfZrN7saTSFWq+dMQa/X1n6jSU0PMHtkksuKYrAiRMn8Nxz\nz+Gmm25q9DTqxmIJWe8cj+OJF44CzAnltPNP5GRGx95Xj0E1LLz05ikYFkcmt3BZCwCQBCd3wDCd\nE4IgMHQEFPSG/fAoEpJpHRcSOWRUsyFCqmqmK+ms2sS00vfPZI1il7aZnInOoAeRTi/WRwN48NPX\nLLpr3ndg3MnF6PQVk+rE/L0pPcXY3MmzKC3/xLkjiNUm0FWy1koSqkqvk0zrYEwo3gPKzCUaSdOc\nz++99x4+//nP48EHH8SWLVsq/ly1DScazVRaR8gngTEGUWRQ8tE4MzkDz75+Epphw7QsJJI2ODjC\nHV54FRHxGQ3/8fY5nJzIFAVjMZggOCYfJqArJEMSHR9AKq0Xy2I0ikIZ70RaR09PCID7PhSQROZ6\nTyml7zctDlEAOBisfCTSYp9d6DoFhzXnHOmc6ZqbLInOqYiXONQBKLKAgFeqaKxyYy601nU9QSRS\nOXhLfCWqbmJdT7DsPXPKkQCcV38PVgqrZZ3laPbamyIMv/vd7/CXf/mX+NrXvobdu3dX9dlW7+C2\nPuxDVjcR8CqwbBuabmEqZWAqqSLgl5HTTVgWL5p/4ikNDM6Ddd/rJysaw6mOKsLvlWHZHKpuYiql\nuvoc1ApJZMUH6ILzgbMr7w4qxc5T4aBStqta6XtKKX3/7JjO7t0w7UU/u9B1Fho3HFRgGBZmsnqx\nqGCBoE9GRjUrGquaMW9933o8/sJRmPlw4IKv5Nb3rS97z2RJyBcwrP4erASog1tzO7g13JR07tw5\n/Pmf/zn+8R//sWpRaFV43gmb0UzccOVapLNO2YnJRA7xlIqs6phGZFGA3yPB5twJDeWAnY/8AYBw\nyIMtaxfeKciS4BSvCwecqqX5bOJMzkTQK8Pm830Qy8WnCBBFR2gqkRuvR3I5hC/v60I8qeLUhTTO\nx7NIprVFncal9YRCfhl2XoxCPqmq2kKV1CXatbMPksgQ8ivFNQJAyC9BLBNlVYsxB/uj+Mxtl5at\nf1XuOp1BBZzby7oHBHGxNPzE8Oijj0LTNHznO98p/u7ee+/FH//xHzd6KheFadtOToFuQzOdBwLn\nwKY1Idx27Sa8MnwWiRkN3SEPrtveixffPIXJ6VzZB/f2zd24+X0bkMnpePKlsXmv+zwSgj4ZPkVA\nIq1jYipTdAwLjEGRBfh9MrKqCTv/ilBiHplLuagkzhk4nN2swIDOkBemaSGVMWCDOwX6bBuJtO6y\nywvM6ed8z839ruii1945j6BPRlY1YFoWMjmO3Tcs3oMBmI1i2tQbgmmYUA0bXQGl4oicSjJaS98j\nCgxeRSxG/1QzVjVjFt632HVLr5NI61gXCVzUvAhiuTDOWznGZz7NMCUVupiZpg3NtKHp5pLmFVU3\ncehEAsNjcYyeTrr8BoXQUklk+C8f3obtm8M4Mp7A3teOI5l2ohEEgcHvleH3StANGxnVgEdyBGCu\nyUJiQNCv4OipaciSgM6gBz6Po/mcc2RVE5+9feEw0blcbLz9w0+8Vda00hVQ8OCnr6noGqvZlADQ\n+lfz+lvBlESZzwvimGV0y4auWdAte0lBMkwbR8YdMTgynnB3YJMFbOwJIpszoOomwh1efGhoPS7r\n6wYAvDJ8FqIoIOiXIUuOjTmrmphM5IqmJk23YFoWeroDxeuapoV42oBq2PAqEhRZKIoC4Ji4vLJQ\nVYmIws7W3SBnvGKBoMY0BNHekDCUwDlgWE7JCTXvJF7qPGXZNsbOpDA8GsPBEwloxmxJaklkuGxT\nNwYHIri8r3teT4JSDNPGhmgAqYyO81M55BaILMpqNrKqAb/XMdMkZnSIAoPfK8GyOZIZDQDQEVCK\nDk5JFmGYNlJZw1WhdLESESNjMfzwl4ehaiYs20Yqo+OHvzyM+++8fElxoJLGBNHerHJhcLqLGTaH\nplmOr6CCxC6bc5w8P4Ph0RjeOT7lKiAnMGBgYycG+6O4Yks3vMrCt5gxwCOJ8HklrOn2YfxCGokZ\nbUkHcjKtw+eR8mYnjq6Q1xWeqekWsqpZNAM9+uwhZDUTLD8/y7Ixk7NhxTILjvHUy2PI5JxYelFw\nkrEyOR1PvTy2pDBQSWOCaG9WlTDM+go4NNOCZlR2KgAcW/2ZWAYjo3GMHIsjlXFnJm5ZF8JgfwRX\nbo0g6JPnff7IeMJxKqZy8HsVbFwTxB07+3Dl1jA4Bz40tB7//el3wLlTxrpcI50Cumnj9IU0bO6E\nicaSajHmUhCYk/1cYsqxLMcLLQizUUaWzRcsvAc4WbfIl7q2bBt2vnDemcnMks11KnHGtnPdoHae\nO0FUwooXBo58ITrTySkwKvAVlDKRyDpiMBZHPOW2kW/oCWCwP4LBbRF0Bj3F3zsicBLxpAaAI+RX\nnJLRsohodwCqbmL0TBLje9/F/bu3Fx8qhQcw4OzsF5umRxaQ0+2i/6GAnX/YM4YSX4LTdtPmrOS6\nHJK4WCBqoYaS7RIpDlRUwnqxCJx2LovdznMniEpZccLgVCTljq/AsKDrFixe2amgQGJGxXBeDM5P\nZV2vren2OWLQH0G00zfvs0fGE3jq5THkNBOCAHgVCZIsQs4XtMvmck7+AndKXBdKHDz+wtF8/RyO\nQuaALACaUf7okNNt18mCASUhrMBM1kBv2A8t/2pHSU8DSRTg83jQ2z1//gV6u704N5WDPWd4Od+f\nYbklrEfGYvjB3oNQDavY4c3vldumLDaV9CZWAytCGAqnAj1/KjBNu6KyEqWksjreORbH8Ggcpy6k\nXa91hzxFMVgb9rtKH8zlleGzsG0bnUEFAa8M3bSQTOvQDMtpjCM6DuiCOadQedTIz9nxL3AIAiDw\nxfMPBcZgYX5hPEkUYOYVQ5GcRDVJZOgKeSq2+d9zywB++OwhpLJGcb5MYOjOX2M5EUaF3bZmmBCZ\nU+phasaRLp9HaouoJUWh2HkAAA0VSURBVIq4IlYDbSkMrlOBbkE3qj8VAEBWNfHuiSkMj8Zw/FzK\n9fmQT8aV/REM9UewaU1wUTEonRcYQ3eHFznVRDypwrKdeQLu0gscjn8g2unFmVjG5Rzm3CmXYYHD\nIwv52kEMhmXPu0ZhVnL+gc/gmIqkvADp+WinXTv7qrKLD/ZHcf/u7fjB3oPQDHNeO87lRBgVdtuy\nJDqF//JlxlNZY15Z7FaFIq6I1UDbCUNOt5DJGcs6FQBOotWhkwmMjMbw3umky0bv84jYsdURg63r\nOorO2qWQBAavV4JPERHyy3nHMC/WLhIYg5Wfa2kfZp/CsGtnX75/s+McFkRWtOvbNofHK0EzjHm+\nBJ8iQDd5URksm89mO3MbIb/XVUZhOW0MB/uj+NzdVxRt6ookXFRphsJuuyOgYCqlwuYMDE6obrtE\nLVHEFbEaaDthSGf1fHGxyjEtG0dPTWN4NIbDJ6eLO3jA+ce9fUs3BvujuGRjZ3GnvRSMAUo+1LS0\nYuYt79uA42dTyOTLU/C8o9cjC9ANu2jyEQVAlp3bL4kMmuE4hzmfdfZyABnVcPkPAKd3s0cWEZEF\ngDGkMk7fBlFk6PTLAGNQdasmZRRq2TS9sNv2eSSEO7xIZZzv0itL8+oGtSrt0kSeIqeIi6HtSmIc\nHpusSBgsm+PY2SSGR+M4eGIKqj6beCYKDJf1dWGw30k8U0oe7EshCAw+j3M6KPRLnsvIWAxP/WoU\nEwkVAHcaq3AOk6NsmQgAmEg4SW2a7ngNRJGB2xyCIKBQYXNt2F91aYlWojSip3S3XU4UVnNJBODi\n1l/NfW5VVvP3TyUxaozNOcYnZjA8Gsc7x+LIlCSeMQYMbOjEYH8EV2wJu8pGLAVjgCyJ8Hslp71m\n3n6zkKSWM9s8+C/7F3Rafvb2S/H4C0fRFfJgMpFzxgQDZ7M+B9O0XZ+phFbbNbbLbrvdocgp4mJp\ne2HgnONsPIuR0RhGxuJIzkk829zrJJ5d1V8+8WwxhHzlTa8iQZEYKitAXZ7FnJalD8z4tArGgEiX\nD4mUWsyCliTB9ZmlaNV4++X4OojqoMgp4mJpW2GYnM5hOC8Gc//g10f8GByI4qptEVxIZPHK8Fm8\nOnIW3SGPq3DdQkgig88rwyuLEAVW8c57sfct5bQsLVz3+AtHIQqOL2EqpQJgVdXkb3SuQKudTFY7\nFDlFXCxtJwy/PXgBr719Fmfj7sSzaKcXQwNRDPZH0NPlJG4VSlmLogCvR0IqZ2Dva8dxNzBPHIp9\nDTwyZFkong0q3Xkv9b5qavYDwIu/P4tzk+mqa/I3OlegVU8mqxmKnCIulrYThl8Pn8GFvB2+K6jk\nE8+iWBeZn3hWKGWtSM7OSZFE6PnfF4ShGGoqi5DKOJMrtddW8r5KzSiD/VHcev3WZTmgGp0rQPbs\n1oN8OcTF0nbC4PfKuH5HB4b6o9jUG1y0z3FiRoN3jpNZFgWkcwYUuTJncqX22lax6zY6V6BV1k24\nIV8OcTG0nTD82X++EtZipUdL6A55kMoZxRODNx9i2hX0IBxSUIkzuVJ7bavYdRudK9Aq6yYIonZU\nls3VQlSYjAzAKWXNOYciC+jp8kKWndPCDTt6UWmEUSWN3qt5X70pnYdXEdEV8iDc4cXn7r6iLjvI\nVlk3QRC1o+1ODJXCmHOcjnR68evfn8HpyQy6Qx58sqRpfSVU6zRutl230fNolXUTBFE7Vlzm82xm\nsgRZYlUX1msVVnPmJ0Drp/Wv3vVT5nONYAAkaTb3oOCQbldRIAiCaCZtLQyluQeK3HbuEoIgiJak\nLYWhtMy1JJYvZEcQBEEsj7YTho6gB5KAJQvZEQRBEMuj7ewvHmk2IY0gCIKoPW0nDARBEER9IWEg\nCIIgXJAwEARBEC5IGAiCIAgXJAwEQRCECxIGgiAIwgUJA0EQBOGi7RLchGrqbrc5q2mt5aD10/pX\nK7Vc+3Ku1XbVVQmCIIj6QqYkgiAIwgUJA0EQBOGChIEgCIJwQcJAEARBuCBhIAiCIFyQMBAEQRAu\nSBgIgiAIFyQMBEEQhAsSBoIgCMIFCUMLkU6n8bGPfQynT58GAOzfvx933XUXbr/9djzyyCNNnl39\n+N73vofdu3dj9+7dePjhhwGsnrUDwD/90z/hzjvvxO7du/GjH/0IwOpaf4GHHnoIX/nKVwAAhw4d\nwp49e3DHHXfg61//OkzTbPLs6sd9992H3bt34+Mf/zg+/vGPY3h4GL/4xS9w55134vbbb8fjjz/e\n+ElxoiX4wx/+wD/2sY/xHTt28FOnTvFcLsdvuukmPj4+zg3D4Pfffz9/+eWXmz3NmvPaa6/xT33q\nU1zTNK7rOv+TP/kT/otf/GJVrJ1zzg8cOMDvvfdebhgGz+Vy/JZbbuGHDh1aNesvsH//fr5z507+\n5S9/mXPO+e7du/nvf/97zjnnX/3qV/njjz/ezOnVDdu2+Y033sgNwyj+7vz58/yWW27hiUSCZzIZ\nftddd/H33nuvofOiE0OL8OSTT+Jb3/oW1qxZAwAYGRnB5s2bsWnTJkiShLvuugv79u1r8ixrT09P\nD77yla9AURTIsoz+/n6cOHFiVawdAD7wgQ/gX//1XyFJEuLxOCzLQiqVWjXrB4Dp6Wk88sgj+MIX\nvgAAOHPmDFRVxdVXXw0A2LNnz4pd/7FjxwAA999/P+6++278+Mc/xv79+3H99dejq6sLfr8fd9xx\nR8PXT8LQInz729/GtddeW/z5woUL6OnpKf68Zs0aTExMNGNqdeWSSy4pPgBOnDiB5557DoyxVbH2\nArIs47vf/S52796NG264YdV89wW++c1v4otf/CL+//buL6SpPo7j+Pu0oXSRlBAVFgaFUUEi3WgX\n+Q8OxkpnWKxgFnbRhTTqZlB4FYLDJDQpuiiquyDQpFEmiEGEKEkUeFOMmkljLIRsKJu5PRcPLA72\n0OPjTB/P53V3zn6c3+/DOeN7fmfsd/Ly8oCF1/7mzZvXbP7p6WnKysq4efMm9+/f5+HDh3z58mXF\nz78KwyqVSqUwjJ/L5abTacv2WvPhwweamprw+/3s2LHDVtkBfD4fw8PDRCIRPn36ZJv8jx49Ytu2\nbZSVlWX22enaLykpob29nQ0bNpCfn09DQwM3btxY8fz/u/cx2MXWrVuJxWKZ7VgslnnMtNaMjY3h\n8/m4cuUKLpeL0dFR22QPhUIkk0n27t3L+vXrMU2T/v5+HA5Hps1azv/06VNisRh1dXV8+/aNmZkZ\nDMOwnP+vX7+u2fyvX79mbm4uUxjT6TQFBQUrfv1rxrBKFRcX8/HjR8LhMPPz8wSDQQ4fPrzSw8q6\nSCRCc3MzHR0duFwuwD7ZASYnJ2lpaSGZTJJMJhkcHMTj8dgm/7179wgGg/T19eHz+aiqqqKtrY3c\n3FzGxsYA6OvrW7P5v3//Tnt7O4lEgng8Tm9vL9euXWN4eJipqSlmZ2cZGBj44/k1Y1ilcnNzCQQC\nXLhwgUQiQXl5OTU1NSs9rKy7e/cuiUSCQCCQ2efxeGyRHaC8vJx3797hdrtxOByYponL5SI/P98W\n+f9JR0cHLS0txONx9u/fT2Nj40oPaVlUVlby9u1b3G43qVSK06dPc/DgQS5dukRjYyNzc3M0NDRw\n4MCBPzouvcFNREQs9ChJREQsVBhERMRChUFERCxUGERExEKFQURELFQYRETEQoVBbKmpqYmpqakl\ntxkZGeHo0aO/7W/Pnj2/PNbg4CCtra3A38sv9/f3Mzk5SUlJyW+PKbJc9Ac3saVXr15lpc1SVVdX\nU11dvez9iCyGZgxiO5cvXwbgzJkzjI6O4vV6OXbsGLW1tTx+/HhBm0gkwtDQEB6Ph+PHj1NRUUFn\nZ+ei++3s7KS+vp66ujqGhoYA6Onp4fz581lKJpIdmjGI7bS1tdHT08ODBw84efIkfr8f0zSJRqOc\nOHGCwsJCS5tNmzbh9/sJBALs3LmTaDRKZWXlopdp2L59O1evXuX9+/d4vV6ePXu2TAlFlkaFQWwr\nFAqRSCQwTROALVu2YJomL1++tDzjNwyD27dv8+LFC4LBIKFQiHQ6zezs7KL6O3XqFABFRUXs2rWL\nN2/eZC+MSBbpUZLYlmEYC9a5T6fTC94vPDMzQ319PePj4+zbtw+/34/T6WSxy4ytW/fz65ZKpXA6\ndV8mq5MKg9iSw+GgoKAAp9PJwMAAANFolOfPn3Po0KFMmx8/fhAOh4nH41y8eJGqqipGRkZIJpOk\nUqlF9dnb2wvA+Pg4ExMTFBcXZzeUSJbolkVsqaamhrNnz3Lr1i1aW1vp7u5mfn6e5uZmSktLM228\nXi9dXV1UVFRw5MgRcnJyKCoqYvfu3YTDYXJycv51n58/f8btdmMYBtevX2fjxo3LFU9kSbTstoiI\nWGjGIJIFd+7c4cmTJ7/87Ny5c9TW1v7hEYn8d5oxiIiIhX58FhERCxUGERGxUGEQERELFQYREbFQ\nYRAREYu/ADXhNT4TuEs/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13fd9290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x='total_bill', y='tip', data=tips)# 绘制回归关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x13e46490>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Lnzy/HxzuI3VGMxFL6uA5YXI4R1ozcTpe7EbwxvirH7+OlOHA0zHO3SIvhmHP\naQFb6KGIcq579vVP8OzuI5AEAb0dAXAw/Pw/PsHYpIYbPrO65H1LOQ/OXd2Bmz6zqiqbYZLIEAxU\nv5tCs/V6Wwr4nn3/m7/5G/zVX/0V2tra/B66IZi+k6/KIiSJldzJr+YYs7kFCq/RdAuMCRAFBoGx\nfE7TtjkMy218yIC86DAGMCYgq1sl72/ZrsJ6pQHyj8bMze1mNAsP/tNuPPyzdzA0PLao+Zd73Utv\nH0M4IGNZZxC66SCe0GDbHK8PnZpxv7mcB//7/ZsWJbaMuTnfjqiK7rYgwqpUtQ02j4W+j0Tt8DXC\nfeqpp7BixQps2bIFzzzzzILu0d1dmypKfhFLGYgGpaICJRJniKeMBfW5L3sMce4xYikDtsMhiVMV\npAS4UawiiwAHLMuBKAAW9+4pQGCusIYD0oz7y6IADe6jsm1zFAZtibSBjqiC9oiClGbi314+hPb2\nEC69oG9B8y933cGABFViGE9o7gcCYxAFDt2y0dUVBgCYlo1Xf3sMO948gozm9hBrj6j43NVrccX6\n5XmXgPf6SmAMCMiS659Va/vnt9D3sVq/h41Ivdfmq+C+8MILGB0dxZ133onJyUlkMhn83d/9Hb7z\nne+UfY/x8dSCekM1Cl0RZcZOvu046IwoGB1N1mwM3bTnHKMromAiocF2AIFNpQwExrC8K4htmwfw\nL89+CN20ILBcdAvAdtw/4rRmzbj/6uVRHDudRFa3wLkDcFd0GRiiIRmRoOI6FwQBFrPxxEsHcFZP\naEHzn2/dY2NJ6IYNxoBTsWxRNGk77ibV2Hhq1m4LnvNgciLrjtUVRiyWLvtn4jVhDCoibMNE0jBR\nnZ/27CzkfeztjVbt97DRqPbaFiLe4g9+8IMfVG0G8/D7v//7uP/++3Hfffehra0NiqLgv/yX/1LR\nPbJZo6mPLUZDMvYdGoPD3XP1huXAcYDfv/ps9HVVZ+Os1Bi27eCua9bOOkY0JON3h2MwzKldes6B\nkCrhnuvd/PKqZWEcOj4JOdc3zH0dRySogAEz7t+/LIrfHjiNUEBGZ1RFQJUQVEQIAkNHRC2KvESB\nYTJt4ObLVi9o/rOtmzsc99wwCFWWkMyayGomPjmZBOfuB4aTyyuvX9uFV985jj0fnoFmuI0Ur7ho\nOe6/+Tyct7pjhvc1GFSQzZpz/hwYAxRZRDSsoC2sQJGEmpRenI2FvI/hsIpMxvBtjn5S7bWFw5X3\nkvNVcAvZv38/jh8/jptuuqmi65pdcPu6QujrDOLYmRQm0wa6oir++PaLsG5Ve03HuOuatXNulPR1\nhdDfE8LRMylkNBMMbmT7xa05VVycAAAgAElEQVTr8td59z0Vy+RFKaCIWNEdKnn/c8/qQkQVZ8zj\nTDyLtG5BEqdEzLAcdEVVXLl+xYLmX2rd/d0h3Hn12ejrCEE3HQDA2f3tYOA4PpqBaXPIkoD2iILD\nJ5NI5QT04rVd+MOt6/B75/a46ZQSzCW4Xu3ZtrCCaFCGVKeDCgt5H0lwK7tfpTDOm0u+mj2lUIpm\neowrtFQFFAlbL1uFz121tuRrZ1tX4e55YZfdhZ4Mm259uvWKAVx0djeSmdl9tYvttlAqpSBJDCHV\nPaQg+BjJVpNm+l2slEZIKdBJM6Jsr6ZnqWJgEAUG3bTx7O4jADCr6Jaimsd6p1ufNNPGi3tGkMyY\nWNs/86mh2t0WPLdBSJUhywIdUiDmhAR3iVOJV/Olt4/lxRYAROZuOL309rGKBNe7dzW8oJ71KahK\niIZkOJxjNJ7FK789ViS4XreFV989ni8cvpiaBwIDIiF3E6zaLWvosELrQoK7xKmkELhmWDOESWDu\n1+vF2KSGrjYVoaCCVMZARrMgMJZv2uhwPq/zoFwYAEkSEA7KWNYZQiynstUWWzqs0LqQ4C5xKqnw\nFVAk6KYNsUBzHe5+3Q8KIz83T+ruviczJuJJHXJOPL2mjYeOTeLFPZ/muy0IjOHyC5fhhk2rKqp5\nMFXbQIYiuxtgolibjbB6deAg/IEEd4lTSSHwrZetwrO7j+S8up6limPrZatqPs/CyI8xYDJtIBqS\nwcFxOuZ6Y9sjCkRRgG5Y0EQBP3lhf/76i9d24ZYKax54boOgKkL2qdNttTtwEI0FCe4SZ3qFL2OO\nLglenrZcl0I18SK/cECCpttgjGFsIgvOmHtaLWMikTIQDEhIZS0kM26aoxLngYdXezaoSr53uu1p\nD+B0PIusbsGyHUi5/HRfZ9CfCRA1hQR3iVPKMXD+QAd27BnBo8/vh27YsB23T1hbWEFQdY+lDvRF\nZmzmzFUFbXolsraQhGBAhmbY+Y2h6fMovL/3tUBAwpn4BDTd7RThcA5VlmDIDtKahVTWFdqFOA+8\nluLBOtaePX+gAwePTYCBQWDuZp9h6bh244q6zKeWLMXNQfLhNgDV8AdW65fXe3Q3LQeT6ZmHTBhz\nozBRFIq8s6W8teDAvTeeAwBFlcgADttx/6+nw71XRrNgmhZsx+0jJuZKFX5p+wXYMNiDf/7l+xhP\n6dA0G2cmMjBNB6V+C6IhGTdX4DxYaEvxWvlVH/7ZOzgVy7it2C0HkiQgqIhY3hXCg/dvqvp40/HL\nh1ttL3Y5kA+XqArV3Nn2Ht0TGRMlFY27lb76ukJFmzmlNntsx8lXpvIqkQkMMO2pG3v3Gp3Iwrbd\n4jle192MbuHFt45gcFUHLl7bjWf+YxiiKEASGEqdFxrsb8MDt6yb9XRYIV7t2UZrKT42qaEtrKA9\nMiX9nPOWy+Eu1c1BEtwGp5zItVq/vEPDYxg+noDDOeyCp4jCkowcgGW7x2QLN3NKbfaospj/vu04\n+XoE+VoNBfeyC7onAEBQEREJyRhPGEimDQyubMfnrjwbv/rPEWR0u2gcQQBCAQncq2w2jY9G4nht\n3wlMpHT094Rx46WrsX5tt+/52XKoZjfjRmapbg5SN7oGxotcJ9JGUeRaWDsWcH95Fan4R1npL683\n1ozatSgOdBmQr4FQKARe59xCdNPNzwYUEY7jvt60nfy9C+/lIQgMHVEFkZCMWELHRNJdw8nxNHa/\nfwqnco4EwG0YuawziOVdYUSDSt57W8hHI3E8/9YRQGAYWN4G3XLwxMsf4/1Pxst+b/ykmt2MG5lS\nvy+t+MEyHRLcBqbcAtLV+OX1xuqIqrnC4rO8kLl50ulCUEooLIvj/IEOJNJG/n5e1wcP716iwBAO\nSOhuD8C0HJyOZWGYNjqiKh799w/xf/38d/j42CQA5AvOuC3R3V9hz3tbNFUGDH0yhr6uMFRJwERK\nh2E6AKtuwfdqsmGwB1+8+Tx0hBVkNAsdYaWmec16sVQ+WKZDKYUGptzHrkqsXfONxRhDV1sAibQB\n3XDbhLsdIKZcCpphoyOsFKU3SrkdvrD1fDzx0gGEgjJURcREyoCZ+2AQBWBFdxiaYaMrquL63+vH\n7g9O40wsA920ITBAEAXEEjrGJt3IVRIZQgEJluXAsjkMy4YsCjBtd71Xb+wH4KYlVMXdCBub0HMf\nIFOfII3+6FqtY8+NTDXraTQTJLgNTLn5vGr88haO5Zr93VNlnrB69wbnCChubtaLEgtFt3DM3t4o\n/vtT77lCLrsntQB3EyijWfiv//NmABya6SCVNqDIIl5861PokzYsB4DjirPAgGhYQUh1PxAMyz3t\nFg7IiCd1dEZVXL2xHxet6UIwICFQUN8gnEvFtHpOtBlZCh8s0yHBbWAqiVzn+uUtZ+Pt/IEOPP/W\nCGyHQxYF93SVJOD8gY68AwJwG0sCHF1tgXndEHv3n0ZGsxBL6pAlAW0hGaGADMNysKI7BMvmSGYM\n6KYNh3N8ciKBsUkt33TS26xrC0l5sQZyrXt0C39xz0X5+gahnNB6/llvI6wa0T9BVAsS3AamGpFr\nOZaxoeExvPH+KUSCMjKaCcu2kc5ybN8ygAMjE/k8cjyp53KxQklrmHevHXtGcHwsDc2wocoCGDgs\ny0EsqcPhHJ1RFddvWonxRBacA4eOTWLHnk9xIlfzAHAj00hIQWwyi7RmI1Rw0Mq0HSzrDEKVRYRz\n/tlavocLYSma+on5IcFtcBb72DWXZcz7/vDxBBgDOqIqlne7jRF108aBkYmiPLJlOfl+ZqWsYYXi\nntUsWA6HaTl5b20oICMaVHDd763E8q4wjo+m8av/HMlvhgGu86AtrOQ3wyIhGRNJI5+v9drz3H7l\nGnS1qWVZurz30BPB//HSQfS0j9RMBKniFzEbJLgtzmwbb8fH0nlRcHLWgVhCQ1dbIH8YwIvOvByo\nJLmnyzgvbQ3zxN22HVgFPl5ZEtERVaDKAhIpHV1tATz16qGibgtrVkRhGDaMXP0AD1EUsKwz6Dox\nbI7OiIKrN6zARWu6K/LPDg2P4ScvHICmW7AdB4m0gZ+8cABfuu38qotgOR9yFPkuTUhwW4zpj7IB\n2c1bTt80sm2eFwVPSAGGRNo9wzWR1MG5G3FmsqYrVJYnpBzhwExrmCfup3N+WFkU0B5VwMAQT2iw\nLAfhoIz/84n3irot3HL5gFtD4OgEnn3jMIzctZbjIKCI+Py1g0UHFRbC07uGkc4aYEyAKAhwOJDO\nGnh613DFgjc0PIaXnx7CydFUSdEs50OOIt+lCQluC1HqUTajWfkdpMJNI0lk+cMSbSEZsaQOBg7d\ndDA+mQXA0BlV3LSA7cDQHAAckgCAuTVooyEF994w5RH1omEn54lVFRGJ3By8DbDJtNt4MZrrtrCp\noObBuoFOfA7AG0MnYVgOBvoiuHpDPy5c07Xo98YrmuOVVxAYYHOW+3r5eO+xZzsrJZqzuUsKP+SA\npXOclZiCBLeFKHykP53UYVkORMH1pMYmtfzhCK+WbSIz1XU231iWAyynSvGke2DBtjk43AMHtuPA\nyUWnx0bT+Kf/732ospt3nUwbcByO7o4gMpqF07FM0THe/FgMyGRN7P7dCbSFZKwb6ATg5oaDqoie\nzgBOjWeQTBv5XPHiYWCsOAfhBszuWqc/GZw/0JHPYRdGsd57HFAkmLknh+miOZszovBDzqOWnuBy\n1zTfdZT2qB4kuC2E+4fLEU8ZYMhFcY6DZMbJ/9vhQKliaznLK2QRcJMLrl+2UO9Ma6b46abj/mfY\naIuqcByOsYlsPmVQCoe7Bx9GJzQ8vWsY/9MN52D92d04Np7Ci2+NwLAcyJKAWKp6j9x9nQGcjGXh\ngOejbc6B5V2BGU8Gp+NZHDw2gbaQgrawUhTFlnMYZTZnxI49I755gqev6VQsg4PHJtAeVhENybOm\nM/buP01pjxpCgttC9LQH8MmJRE5c3cjNKRC++faYJJG5ZROZW9PAnvcK5E6guemDyZQOzbBnlDj0\nnA2F4i0wBkUV0RZS8OGROK7Z2I9/ee4D6AX55lLR40Kjr7uvPwc/eX4/tFx9X1FgCKgi7r7+nBmb\nXFndAgND1rDRHmFF8/DSBUoZh1FKzcsvT/CMNRm2uybdQltYmTWd8cyuQ5T2qCFUS6GF2LZ5AFbO\nRQB4LXBcvIhuLniuZQ7A3WvneX1QldDbGcq1ucnku+FOL3bjWc0AV3jDQRl9XSFEAhImUwaGj0+C\n8/mL8JRbzKcUGwZ78KXtF2Btfxs6oyrW9rfla+1OH9eyXfubVRDRe/PwagBohlVxDQA/6yTMWFPO\n0leYoimVzjgdy/ia9lhqUITbQmwY7EF/Txhn4lk4nEMSBTAmwLRyFbrY7CLK4NZMUEURqiIiq1uw\nbeRrKTgOzwupJAroiCpgjGF8snT6wEtfSLmOk4osQs4V+tYNG/GknquZwBCQBTz8s3cwmdKRSBto\njyj5k2WlbGcLjb5mizqnb3JJovueSQXC483Du/7ld0/M6lJYyByqzYw1SQKsXKrGo1Rk3tcVwmg8\nQ0ehawRFuC3G3dcNoj2ioKcjiGWdQUSCcsmSi6UIKCK2XrYKksjQEVXR3a7mHAQcbWEZooDcvQPI\nZE2MxmcXW8DNBwsCg25Y6GpzK3mdiWcxkRNbnsvlJrIWJtIGOqIqbMdBLKEjnTVK2s5qEX1Nr1wV\nVCVwcAQVsWQUu2GwB3/3tSvx8Nc+iwfv39SQj9oz1qSI7ppUac7I/K7rzlmSVbz8QvzBD37wg3pP\nohKy2ZltX5qdcFhFJlOqh0Hl9HWF0NcZxLEzKUymDSzrCOKq9cuRyhi5wt0c3rkC720UGLCyJ4Qv\nbl2Ha35vZf76jG6jM6IgGlIQVCQM9EXBOcep8QwMq/iHEA5ICCmuQ4Ixhu52Fd0dYXRGFWQ0G+MJ\nHabpIKS6IsbAsLwriFBAzketsuT+Z5g2NMNBf3cId12zNi9o7348irRuFR2MMCwHXVEVV65feM+v\nUu/ZlRcvh2bYmEwb6IqqRfMAqvszqwUz1tQ5/5oA4NyzuhBRxfx1s72uGan2zywcVud/0TSop1kD\nsJheS7W28DDmOhHSWRMfHI4V1TwQGMPmC/tw/aaViATl/NdURcS/vfwxjo+lc46F4u6zhb25Hvyn\n3fmykB5eNbGHv/bZGWv1uw/WbPjV+8tvWnVdAPU0IxZJYcPHrG4jltQxfOJ9bL9iYNGty9//ZBwv\n7T2KsYksJhI6HKCoyPn6tV3YetkAunO5PYG5u/7hgARJFLD/SAxpzQJjDAJjsGyORFrPnWibopKW\nMku1hirROpDgNjE79ozAtBwks6a76cUAx+F4/s0RrFnRtmAh+vBIDL94/TBOjaeRndY/bFlnEJ+/\ndi1WL3M/3QWBua3TVbGoZ5llc4Bhxsmu6TnfSssnLsUaqkTrQILbxIxNasjqdpHvVswddliobzJj\nWPj3Nw7j05OJkgckwDlWL4sWCK1Ush25KDIwy+2+m29CydyvF0JRK7GUIMGtM/MVQpmLnvZAvgaC\n6XBwnrN3iayinXsOjqxhYzKh4/X3T+Kjo5OzHnnwjuyuH5y7mMzKnjBGJ7NIZS1YOYtVUBGxvCs0\n47UUtRJLBRLcOlJOIZS52LZ5AB8f+13RCS4OwHbcNjjzwcGR1W2kMgbeOTiGl94ewUSq9C5uUJXQ\nFlbAwPHyb49i4zlzz2/b5gH828uH0BkVqdMCQeQgwa0j5RRCmYsNgz3oiCgYT0y1B3cdU3OccMCU\n0GayJg6MTMxwHpy3uh0jZ1LIaFa+MA2YW7JRlQWcsrOz3rtwbu3tITzx0oGqpQpq7cigoi1ErSHB\nrSNzFUKZ7Y9/aHgMj/3qI8QSev6xXxYBy3E11uFAQGY4GcviT/+PVwEw9HUGcM/15+DitT3ImhYy\nGRNHR1PYsae42wIDwMART2q4ev1yvHtoDIBbijGrWxAYYFg2FNPGg/+0e15RuvSCPpzVMzOFsBBq\n3UWBujTUFvowcyHBrSOzFUIJyELJP/4jJxP41dtHZzgHTNt1AUgig8M5skYuxyAwyBKQ1m38cvcR\npHULHREVv957FO8enOq2IBQc3WUCg2kD+0cmoIgCTsayYAyQc/d2HPc8vt+itNhjvfW+/1KGPsym\nIMGtI54lSjMsCIxN1U2VxZJ//C+9fSxfIMbbrvJE0+GAxFi+OpgkCuiKKlBkEamsgWOnEnji5UNI\na2bemtXbEYTAgDMT2Xwr8qAqIZUxMZLQIApuEfJkbuPL25Rza8uyskWpGtFNOWURF0Ot77+UoQ+z\nKaiWQh3xqkd1tgWLqkdphl2yZoBboWr2+3kFa7raAujpCMC0HJyOpZFImzBsYDJtwLI5oiEZf3D1\n2fjf7t4Aw7QRDshY1hUC58BoLINU1i1M7jgckuQ6C1Yti0AQGESRFRV1mU+UFlPhq5Ce9kDRwQug\nukVVan3/pUytamA0IxTh1pkNgz248Yqzi44c9rSXLlQdUCRkZxHdgCzg3IFOTKR0xBI6YgnN9eQW\nvJYx4MbPrMJV61dAkUUIjOGcVR0YPpHAaDxbdGSaIVcT13byhxIExmA7HG0huWhec4lStaKbSg9I\nVEqt77+UqeQ0YatDEW4DMr3Sk1exaetlq/J2L577L6hK6O0Ioq8nhHTWxGRKRzoXoRaKrSQy3HPd\nIG7YtAqqLCIgi+hqD+DqjSswmdJhOzx/T48VXUF88ebzIAkMJ8fS7ms4h2XzsitJVSu6qXUtWT9r\n1S41Zvt9XoofZhThNiCFp6+Oj6Vh2xySyHBgZAK3XLYarw+dRNZ0EAnKEBjH6p4wxhI6RuOZovbk\ngBupdrUpuP2zZ2PdQCckiSEadFuWAwwXn92NOz57Fp5940jRybKAIuDu688BAOimje6OIBRJQCJt\nIJU1oekmGBMgiSzf/rucWrPAwqObWh+QoAMYtYFOE05BgtugeL+MhdWxklkT+4bH8Ue3no/+nghM\ny60pO5HS8eu9R3H4ZDIfoa5ZEcWtmwemah4whnBQcitzTauMu2ZFGyIhxW2F7jgQBQGy7P5qTE8J\ntEfcknTprIXuDgWKJMy560yP6gRAH2YeJLgNjCd20ZCMgOLWLJhI6Xj2tcO4csMK7Hr3OE7FMjBM\nJy+0vR1BbNs8gPMHOvIlDwOyiEhYhiRMPdp7zoHjY2mksxY4OFRZREc0iKAqQTftfEQyffc+q9tw\n+Ny9xzw2DPbgyMlEzmFhIaBI2HrZKvrjI5YkJLgNTFqzsKwzCM6BdNZEPKkhlbVgWg4+mVZchjHg\nigv7cNuWNfliMqLAEAnJ+OTEJJ5/7tOidtlvvH8KpuUgo1twcrtwpuUgltDQ1RZAQBHzr5+eEjBt\nB7JYXl52aHgMb7x/Cm0RBT2S6wR44/1Tc1YzI5M80arQplmDYpg2uttVjE5kMT6pIZ7UMJEy8o0N\nC8U2GpLR1abidCwDUWBgDAgFJHS3B3Do2AT+3x0fFdmynn/TLeuYzXXY9WrQuMLLkEgb+TxrqQ0P\nUWD5nmP5+c6Sly1MSXjeXVEU8nnf6VTLRkYQjQgJbgPhVu2yMJ7IIp7UsXGwB5puwbBsJNJmrqvu\nFAxwN8FCChRJxERKhyKL6IwG0BZSIDCGF9+aKXgOdwuWW7nmkl51RfdgA4dpTe0il9q9337FACSR\nlbXrXKlLoVKBJohmglIKDYBp2UhrJrKaVeQyWDfQiauSGn699xjsgq8XFvX2TpaJIsO5qzvQGVWL\ntsS8HGxWt5BIG7BsB44DGNyGIouwbXeTjHM3crY5EJClIktUqQ2PNSvaynrsr9SlQCe+iFaGBLdO\nMObmQjOaBZO5BWIK8ZwHhTUPJJGhI6LC4RyTKR0Od9uPh4ISRMZw5cUrZnTm7WkP4HQ8i2TGAOC2\nu3EYh8PdYuUW3HKOjAFtYRWSyMryn5a761ypS6HeJnnKHxO1pC6C++Mf/xgvvvgiAODaa6/Fgw8+\nWI9pVI25/kgLv9fbHsD2z67BOas6kNUs/O6TMex69zhOxjJFBWlUWYBpOfk8rSwJuPCsDnx8PJE/\npOBwIBKUEQnJODXmHsf9aGRiRo2FYlw/L4d7iiwzrQhOPOmWeXzsVx/hgVuKLV7lClHh6yIhBZZp\nQTNs2LYFSWTo7wnPKWLnD3Tg+bdGYDscsiggqIqQJQHbNg/k731iLA3dtGFabnTe1xnA3defU5Yw\nzvezmq/Iinf9qVgWhmlDFBlWzrMmgvDwvU367t278dRTT+GJJ57Afffdh0cffRSRSASDg4NlXd9o\nbdK9P1L36K2ItG5h36Ex9HUGcTqeweM7D8KyOTrbVIiSgKFDY5AlASfH0/jl64cxmTJmVP/yTn0B\nQEgVEQnJODGWgWbY+ai2uz0AxhhiCQ26ac+c2Cw4HBCEOcvlIqvb2Dc8htXLIujrCs25xr6CDg6F\nr+Oc43Qsg1TWQiQoIRiQIQhszpbbQ8NjeP6tTyGJAhzHgWU7sCyOGz+zEh1RFY/vPIhkxkQi49aE\ncJfAkdIsfHA4hv6ecNF8St1/rnX8PzsOwMjVJWaMufPgwLEzKVy5fkX++mTGRDJjwHY4TNuBaTn4\n4EhsxvvRjDR6+/fF0Aht0n3fNOvt7cW3vvUtKIoCWZYxODiIEydO+D2NqjHXJs+v9x5FR1TFsi7X\n2jWZMpDMmvjNu8fx2r4TEEVhRpQ5Hd20YZgOdNOBwIDe9gA6oioSaQOxhFaU2y0Xx5lbcAFAM+z8\nRlW5G1mFr0tmTAg5x0Qya5W1+eVd3xZWsLw7jFXLoujuCOSKpLvfy+pWUfjO4aZnCuc73/1nW8d8\nG3yFcxAE5jpCAGQNmzb2iLLwPaVw7rnn5v//yJEjePHFF/Gv//qvZV/f3R2pxbQWTCxlIBqU8ocM\nADcqdbj7hxhL6jh8YhKi4ApJUBExmTHB4eZQ54MxhlTGRFCV0B5RYFkOzsQzNY/yOQfiKQO9vdGS\na5RElv++R+HrLJtDFAAOtwCOLAklrylkrnE4gGhQwtiElhdZzt3/BObW6p3r3vPdv7c3ihW9EcQT\nWQQK8seaYWFFb6TofRib0PKdNQQAtu0gHJDmHb9ZaIU1zEa911a3TbOPP/4Yf/qnf4oHH3wQa9as\nKfu68fFUUVWretMVUfKbPAFFRECVoBsWNN3E8dEMHM4hMLdo93hCQzggoy0kI5bUZ6QSSiEJDO0R\nFYLAMD6puR1wfVg+Y0BnRMHoaLJojR66aee/71H4Oklk+WI3oujmpEtdU8hc4wDARNpw72tPvQeM\nIfcesznvPd/9R0eTuPGS/nwKqHCD78ZL+oveB29tDBxObn1pzZp3/Gagtzfa9GuYjWqvbSHiXRcf\n7m9/+1v8yZ/8Cb7+9a/jD/7gD+oxhaqxbfMAVElAOChDFBlGJ7I4HctAMxyEgpIbieXcAdwBUlkT\nx8cyZYltNCijqz0AzbAxFs/Cdpx82/GFElQEt4X5PDcJKGLeSVButafC10VDsttFgruRaTkVouYa\nx/teUJVQ+AZ4H0CF813I/YH5K4YVzsFxeD7XHlREqg9BlIXvEe7JkyfxZ3/2Z3jkkUewZcsWv4ev\nKhzAeQOduPWKAbz822MYm9DQGVVx85Vn49nXDyMckCGJApIZA5aV2+TJRWbtYQWaYcG2HUyrew1V\nFrGiO4iMbuFMPIuOiAqRuc6CdNactYU5MLMTBMNUnjMalNHZFkBGMzGZcj25HDMj5u42FQ/csq7I\nhwvMX+1p+utW90Vdl4LpoCOszLuTX844O/aM5EWzUpdCOfefy+5WeD3nyLsUlneFyKVAlAXj3N89\n/7/927/Fz3/+cwwMTEUD9957L+67776yrm+ElILDOTTDRqagXc10/u/nPsBkxoBpcSQzU84KUWC4\n48o12PfxKJKaBUVyH78tm8O0bXRGVHS2BfDJ8Umks1bednT+QAf2HjiDE+MZSKKA9ogCURRg2868\nvtlCu1Pho3Kt673S42nz0arrAhojpeB7hPu9730P3/ve9/wedtEwBpiWe/Q2q1tzir7DOVb2RnDk\ndyfzXloGQFVE3HXNWly8ths73z6aFz5ZEtDdHkB/TxiTSR1bLuzDJ8cn0RaZKn/4xvunoMoilnWF\ninOQmL97wmLrkdJhAIKoDnTSrAwM00FGM6Hn6s/OxaHjk3lzvocqC1jeGcR1m1Zh3UAnPhqJQzfs\nfA+yaFiBaXEcOBJHb0dw1rY0p2MZrOgJF403X1t1j4XWI6WOqwRRPUhw50AzbaSzptuxdp7XnhxP\n41f/OYKDRyfzX7v47C5svXw1etqDRa99bd8JhIISAIZQQEIibSCjWQCAY6NpqLIww0Dv+kNZ3pjv\nMVdbdWDxokgdVwmiepDgTiOfn82aM9rVlKJUzYM1y6PYtnkAA32lczyprImzlkdxKpbBmWnNGwFA\nNx2cjmWwvNuNZr1NLodzjE9qCAcktIWVeduqlxLFStMDVEyGIKoHCW4O23Hrw2a0ufOzHlndwm/e\nO47d75/Kb5z1dgRwy+UDuOCsziJzfSGyxHD2ynacGs8gntBnHUs3HUymdNeYnzQAcHS1BWDZHKmM\nCdvh+TP8/+OlgwA44kkdluVAkgTXoD9NFBeSHqh3MRmCaCWWtOAy5opHVreg6Xa+88FcWLaDtz44\njVffPe4eM4Vrt7rp0lXYtG5ZvttCqbFCARmRoIQtF/bh8Z0H501TGKaDdNaBKDB0RAOuBxXu5ltH\nWMGD928CAATkQzgZy4Ixt2SjbTuIJw2s6CpOZezYMwLL5khmdFi2A0kUEFSlOdMD1JOMIKrHkhVc\nzbSR1dzi3uUY4xzOMTQ8jp1vH81X1VJkAdds7MdV61dAKYgApyNLQq5IuHvOxOvz9dzuT2e9hgH5\nR/lQoPg46oxHeua5bYX8kVfAwfTTDSfG0khrbrddIXf8NpHWYdvTjMAFUMdVgqgeS0pwbYdDM6wZ\nhb7nY7rzQGAMl1+wDKBpLMIAAA8bSURBVDd8ZhUiQbnkNR+NxPHKb93C4brpIKQI+HyBOf/AyAR6\nO4NIpg2kcxtmhXAAsYQGSRQwkat9C+6WZWRwD0E8/LN3sG3zADTDRldbAMmMmY9coyH3hFohbuqD\nuVGw45Z/5BxIZS0MDY/Nafhv1v5jjT4/YmnR8oK7kLSBRynnwUVnd+GWEs6Dj0bi2LHnU4xP6uDg\naAupUBQRybQBw7IxkQJ+8vx+3LBpJQ6MTODg0QnIkoD2iArLdquBTcfh7tynwwE4DsfpeBaP7zyI\ngCLCcniRs0E3bXSElaLrxFzFcct2inqicfAFuRoa3TLW6PMjlh4tK7gcgGnaSFeQNvCo1Hnw0Ugc\nT+8aRla3oCoi2sIqdMPGmXgGAgNEQYADjoxu4fm3RtDdHoAsibBst0uuMEveF5g6mjsdr0xgR1QF\nOHePu2LuPOvKnjBOxTKYTLs1Qd2cL4MsCfnygpUIUaNbxhp9fsTSo+UEl8O1daU1E5ZV2RFg13lw\nArvfP1mR8+C1fSdgWjY6oipCqoTRSQ167nHeASDCFU7T5hAE9w+/LexWDHPP5BdHsYX1EGZbgVeB\nTJEEZDQLf7j1vHkfnb0NMMYYpFzpRICjLawsyOrV6JaxRp8fsfRoGcH1bF1ahflZYOHOA4+0ZqG7\nPQjDtDE6kS1KA3iRtTcj2S2kmm8znkibsB077zDw8qoeRSPnNsRY7nWSKOQtWuWcJPO+/y/Pfgjd\ntCBLAtrCKoKqW82rEqvX0PAYMpqFWFJ37xOSEQrIDWUZI0sb0Wg0teAuJj8LLM554KFIAs5e0Yb3\nD8egGRYE5nYCKCxq43CeK5QNBFURGc1EIuOeYBMFht7OAHTdTX8IjMO7NG8+yKluPr3AAc4dBFW1\nYovWhsEefOVzFxYVsymndGIhXm5UVUTopgXLchBL6jAtJ99/rBEgSxvRaDSl4HIOGJZ7SKHS/KzH\n8PFJvFih86AQxoBwUEZYlXHFRX348EgMnAMOeD4K9aJTBoblXQFcev4yvPLOccQSet6xZTtu364b\nNq3E3gNncDquAYLb7FGRRbSHZICxXItzDoc7EJjbPaGvM7igXffFWr283Ggo4DZ4TKQNmJbbCuhP\nbj2/YfKjZGkjGo2mE9ysYSOZ1mctizgfldQ8mA33UVzJpwc2DPbgS9svwNOvHsLpuAbGOFZ0h3Hp\nul4cGJnId7Bds6INbeHRXDNItxMEmCtYL+4ZQW97AO0RxRdhWGgxG6A4NxpUJQRVCZxzZDSr4cRs\nMeskiGrTdIKbynVsrRTXeXAM7x4cLbvmwXS8qDYSmBkBT//Dns2SpBk2lneHkNXd/Cfj7taYbnKc\njGXRGVUa3r5EuVGCWBhNJ7iVUtp5EMS2y1fj/DmcB9OZflpsPmazJNm2BcNykMiY7gEGxmA6rl/A\n63C7vEtpaPsS5UYXBh3CIFpWcEs6D0IybvpMec4Dj7mi2rmYzZLkNkF03PYwBa4ESXRbbls5h0Mj\n25coN1o5dAiDAFpQcKvhPPCoNKotZLbH7v5cha9Ca5YgCHAc10Ms5cYq5xG9nhET5UYrgw5hEECL\nCe5inQceXmWvaAXXTGeux+7p1iwAGI1nALCyO9xSxNRc0CEMAmgRwa2G88BjMVFtIfM9dhd+P54y\nsKI7DHBedofbWkZMlGusPrTRSABNLrilnAdnLY/i1mnOg49G4nht3wnEkzo6oyqu3tiPdQOdRfea\nLVc7n/jM9f35Hru971faTXRoeAzDxxNuT7SCU17ViJgocq4NtNFIAE0quLPVPNh2+cAM58FHI3E8\n+8ZhiKKAgCohkTXx7BuH8TkgL7qK5DZy9Hy1HvOJTz3EyRvTO4Vm2+4pL8AtaLPYiIlyjbWBNhoJ\noAkFd++BUTz7xuGimgc3XroKn5nFefDavhO5I6yugCiSCCP39fPP6syfFivlDptPfOohTt6YHVEV\nsYQG9xwbx2TKQHtEWXTERLnG2kEbjUTTCe6r7x5DVrfKdh7EkzoC6kwBcXI9wqZHtYXMJz71ECdv\nTMYYutoCuWO1blfhL9583qL/oCnXSBC1o+kEV2AMmy/sww2bViIaUuZ9fWdURSJr5iNcVRERVCUE\nZGFOsQXmF596iFPhmN6xWq/YeDWiJ8o1EkTtWNxWfB340m0X4M6rzi5LbAHg6o39sG0Hlu2gPaIg\nqIqIJzRcs7F/3mu3bR5wC3ubNjjnM+xa832/FtR6zA2DPfjizeehI6wgo1noCCtViZwJgmjCCLez\nTYVZou3MbKwb6MRdkoD3PxnHyfEMQqqEL9xwTlkCUom1y6+NED/GpFwjQdQGxvlCihvWjwPDo2UL\nLgOgqiLagjIEoXGD+UptYc1Cq64LaN21teq6gOqvrbe3vKJXhTRdhFsuksAQCSsIyAKm9U0gCIKo\nCy0nuIwBAUVCNCRDKLMSGEEQhB+0lOBKAkM0rCCgiAvqAkEQBFFLWkJwGXM7D0SCblRLYksQRCPS\n9IIriQxtIQUqRbUEQTQ4TSu4FNUSBNFsNKXgUlRLEEQz0nSCG1QlBBSRolqCIJqOxj0NMAtk9yII\nollpOsGlqJYgiGal6QSXIAiiWSHBJQiC8AkSXIIgCJ8gwSUIgvAJElyCIAifIMElCILwCRJcgiAI\nnyDBJQiC8AkSXIIgCJ8gwSUIgvCJpiteIwitWUeB1tV8tOraWnVdQP3X1nRdewmCIJoVSikQBEH4\nBAkuQRCET5DgEgRB+AQJLkEQhE+Q4BIEQfgECS5BEIRPkOASBEH4BAkuQRCET5DgEgRB+AQJbh1I\npVK4/fbbcezYMQDA7t27cccdd2Dr1q145JFH6jy7hfPjH/8Y27dvx/bt2/Hwww8DaI21/cM//ANu\nu+02bN++HT/96U8BtMa6PB566CF861vfAgDs378fd911F2655RZ897vfhWVZdZ7dwnjggQewfft2\n3Hnnnbjzzjuxb98+PPfcc7jtttuwdetWPP744/WZGCd85b333uO33347v+iii/jRo0d5Npvl1157\nLR8ZGeGmafIvfelLfNeuXfWeZsW88cYb/Atf+ALXdZ0bhsH/6I/+iD/33HNNv7Y9e/bwe++9l5um\nybPZLL/++uv5/v37m35dHrt37+abN2/m3/zmNznnnG/fvp2/++67nHPOv/3tb/PHH3+8ntNbEI7j\n8Kuuuoqbppn/2qlTp/j111/P4/E4T6fT/I477uAff/yx73OjCNdnnnzySXz/+9/HsmXLAABDQ0P4\n/9u7v5Cm+jiO4+89m5OCwoT1BxMDy6ggkyJcF/kPlrGcUyxWMIt1USCNvBkV0kUYDpMyo+ii6A9d\nBIEmjVyCGESJkkSBN8VqK2uslZQNbbNtz8XDswh76BnZ/uj3dXfOfpzf78M553t+nLHf8vLyyM3N\nRaVSUVVVhdPpTPIo46fRaDhy5AhqtZqMjAzy8/Nxu91pn23z5s1cv34dlUrFx48fCYfDjI+Pp30u\ngE+fPnHmzBkOHjwIwNu3b/n69SsbNmwAoLa2Ni1zvXz5EgCLxYLBYODGjRs8evSI4uJisrKymD9/\nPtu2bUtKNim4CXby5Ek2bdoU237//j0ajSa2vXjxYnw+XzKG9ltWrVoVu1Hdbjc9PT0oFIpZkS0j\nI4OOjg70ej1arXbWnLPjx4/T2NjIwoULgenXokajSctc4+PjaLVazp8/z9WrV7l58ybv3r1LiXMm\nBTfJIpEICsX3JeOi0egP2+nmxYsXWCwWbDYbubm5syab1WplYGAAr9eL2+1O+1y3bt1i2bJlaLXa\n2L7Zci0WFRXR2trKggULyM7Opq6ujo6OjpTIlnbr4c42S5cuxe/3x7b9fn/sdUO6GR4exmq1cuzY\nMfR6PUNDQ2mfzeVyEQqFWLNmDfPmzUOn0+F0OlEqlbE26Zjr7t27+P1+qqur+fz5MxMTEygUih/O\n14cPH9IuF8Djx4+ZmpqKPUyi0Sg5OTkpcS3KDDfJCgsLefXqFR6Ph3A4jMPhYOvWrckeVty8Xi8N\nDQ20tbWh1+uB2ZFtdHSUpqYmQqEQoVCIvr4+TCZT2ue6cuUKDoeD7u5urFYr5eXltLS0kJmZyfDw\nMADd3d1plwvgy5cvtLa2EgwGCQQCdHV1cerUKQYGBhgbG2NycpLe3t6kZJMZbpJlZmZit9s5dOgQ\nwWCQkpISKisrkz2suF2+fJlgMIjdbo/tM5lMaZ+tpKSEZ8+eYTQaUSqV6HQ69Ho92dnZaZ3rv7S1\ntdHU1EQgEGDdunXU19cne0hxKysr4+nTpxiNRiKRCHv27GHjxo00NjZSX1/P1NQUdXV1rF+/PuFj\nk398EEKIBJFXCkIIkSBScIUQIkGk4AohRIJIwRVCiASRgiuEEAkiBVcIIRJECq5IaRaLhbGxsd9u\nMzg4yI4dO37Z3+rVq396rL6+Ppqbm4F/lv5zOp2Mjo5SVFT0y2MK8S/54YNIaQ8fPpyRNr+roqKC\nioqKP96PmN1khitS1tGjRwHYu3cvQ0NDmM1mqqqqMBgM3L59e1obr9dLf38/JpOJ2tpaSktLaW9v\nj7vf9vZ2ampqqK6upr+/H4DOzk4OHDgwQ8nEXCUzXJGyWlpa6Ozs5Nq1a+zatQubzYZOp8Pn87Fz\n507y8vJ+aLNo0SJsNht2u50VK1bg8/koKyuL++epy5cv58SJEzx//hyz2UxPT88fSijmGim4IuW5\nXC6CwSA6nQ6AJUuWoNPpePDgwQ/vUBUKBRcvXuT+/fs4HA5cLhfRaJTJycm4+tu9ezcABQUF5Ofn\n8+TJk5kLI+Y0eaUgUp5CoZi2dmk0Gp32f1sTExPU1NQwMjLC2rVrsdlsqFQq4l0u5K+/vt8WkUgE\nlUrmJWJmSMEVKU2pVJKTk4NKpaK3txcAn8/HvXv32LJlS6zNt2/f8Hg8BAIBDh8+THl5OYODg4RC\nISKRSFx9dnV1ATAyMsLr168pLCyc2VBizpJHt0hplZWV7Nu3jwsXLtDc3My5c+cIh8M0NDRQXFwc\na2M2mzl79iylpaVs374dtVpNQUEBK1euxOPxoFar/3efb968wWg0olAoOH36NFlZWX8qnphjZHlG\nIYRIEJnhijnl0qVL3Llz56ef7d+/H4PBkOARiblEZrhCCJEg8qWZEEIkiBRcIYRIECm4QgiRIFJw\nhRAiQaTgCiFEgvwNasAt3i14RIMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13e464d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='total_bill', y='tip', data=tips)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x13e46150>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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D6fMRfHPTDb5+r9N/t+sqg/jy6mZctawK6gJ6MkjlDaWeCDp7IojFM5vsVFcE0bKkEq1N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\nBgYiInL5//i+Ev49y2FaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x760d5d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(data=tips, x='size', y='tip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x13eebbd0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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v6xhKGhhefvllNDU1Ye3atdi5c+eMnoM6uBVWW6VgJJyYNDhYv8wML751pKJL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\nwEAIIcSGAgMhhBAbCgyEEEJs/g8NaD+wBuVFVwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x13eeba90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(data=tips, x='size', y='tip', x_jitter=.05)# 在原始点上加上小范围浮动"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
